PYTH PYTH / SIS Crypto vs KMNO KMNO / SIS Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset PYTH / SISKMNO / SIS
📈 Performance Metrics
Start Price 3.881.32
End Price 1.380.82
Price Change % -64.45%-38.15%
Period High 4.371.64
Period Low 1.380.66
Price Range % 216.5%146.1%
🏆 All-Time Records
All-Time High 4.371.64
Days Since ATH 338 days174 days
Distance From ATH % -68.4%-50.0%
All-Time Low 1.380.66
Distance From ATL % +0.0%+23.2%
New ATHs Hit 2 times4 times
📌 Easy-to-Understand Stats
Avg Daily Change % 4.56%5.51%
Biggest Jump (1 Day) % +1.54+0.39
Biggest Drop (1 Day) % -0.71-0.33
Days Above Avg % 44.5%48.5%
Extreme Moves days 8 (2.3%)16 (4.7%)
Stability Score % 0.0%0.0%
Trend Strength % 52.5%50.1%
Recent Momentum (10-day) % -15.50%-10.80%
📊 Statistical Measures
Average Price 2.471.06
Median Price 2.371.04
Price Std Deviation 0.610.20
🚀 Returns & Growth
CAGR % -66.73%-40.02%
Annualized Return % -66.73%-40.02%
Total Return % -64.45%-38.15%
⚠️ Risk & Volatility
Daily Volatility % 7.53%7.72%
Annualized Volatility % 143.87%147.57%
Max Drawdown % -68.41%-58.98%
Sharpe Ratio -0.0080.019
Sortino Ratio -0.0100.021
Calmar Ratio -0.976-0.679
Ulcer Index 45.6236.32
📅 Daily Performance
Win Rate % 47.4%49.7%
Positive Days 162170
Negative Days 180172
Best Day % +88.45%+51.97%
Worst Day % -19.58%-22.44%
Avg Gain (Up Days) % +4.84%+5.58%
Avg Loss (Down Days) % -4.46%-5.22%
Profit Factor 0.981.06
🔥 Streaks & Patterns
Longest Win Streak days 96
Longest Loss Streak days 77
💹 Trading Metrics
Omega Ratio 0.9751.056
Expectancy % -0.06%+0.15%
Kelly Criterion % 0.00%0.50%
📅 Weekly Performance
Best Week % +47.45%+38.79%
Worst Week % -21.19%-26.18%
Weekly Win Rate % 45.3%43.4%
📆 Monthly Performance
Best Month % +52.70%+62.58%
Worst Month % -38.78%-41.33%
Monthly Win Rate % 30.8%46.2%
🔧 Technical Indicators
RSI (14-period) 32.6430.09
Price vs 50-Day MA % -30.71%-16.76%
Price vs 200-Day MA % -35.14%-18.39%

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

PYTH (PYTH) vs KMNO (KMNO): 0.559 (Moderate positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

PYTH: Kraken
KMNO: Kraken